For a simple regression model, the problem of estimating the intercept after a preliminary test on the regression coefficient is considered here. Some nonparametric procedures for this problem are formulated and their various asymptotic properties studied. Comparison with the conventional estimation procedures (for both the situations where the regression coefficient is treated as a nuisance parameter or not) has also been made.
Publié le : 1978-01-14
Classification:
Asymptotic bias,
asymptotic mean square,
asymptotic normality,
linearity of rank statistics,
nonparametric estimation of location,
preliminary tests,
relative asymptotic bias,
robustness,
tests for regression,
62F20,
62G99
@article{1176344074,
author = {Saleh, A. K. Md. Ehsanes and Sen, Pranab Kumar},
title = {Nonparametric Estimation of Location Parameter After a Preliminary Test on Regression},
journal = {Ann. Statist.},
volume = {6},
number = {1},
year = {1978},
pages = { 154-168},
language = {en},
url = {http://dml.mathdoc.fr/item/1176344074}
}
Saleh, A. K. Md. Ehsanes; Sen, Pranab Kumar. Nonparametric Estimation of Location Parameter After a Preliminary Test on Regression. Ann. Statist., Tome 6 (1978) no. 1, pp. 154-168. http://gdmltest.u-ga.fr/item/1176344074/